If you’re looking for a speaker, please contact me at stephanie@stephaniekirmer.com or visit my SpeakerHub profile.


Speaking Topics

Machine Learning with Parallelization/Cluster Computing

  • Applications of GPU clusters for deep learning
  • Using Dask to parallelize machine learning

Data Warehousing/Storage

  • Redshift
  • PostgreSQL
  • Elasticsearch

Industry Specific Machine Learning

  • IIOT
  • Hospitality/Travel
  • Education

Data Visualization

  • R: ggplot, shiny, plotly, gganimate
  • Python: plotnine, bokeh, plotly, altair
  • GIS or Network Graphs

Developing and Distributing Packages/Libraries

  • R
  • Python
  • Collaboration across teams with R or Python libraries

Pipelining and Job Scheduling for Machine Learning

  • Machine learning production workflows using AWS Redshift and Airflow

Sociological insights on data science, machine learning, and/or AI

Or other topics - please contact me if something adjacent would fit your audience!


Requirements

Aside from my equity and diversity requirements noted below, I’d ask that you give the following information when requesting my presence at an event.


Diversity and Equity

I believe that our personal values should be reflected in our work, so I don’t participate in events where I am the only woman, events with one or fewer people of color on the speaking schedule, or events organized by groups that don’t explicitly support equal opportunity and require respectful conduct from attendees.

There is an abundance of extremely talented women, people of color, and LGBT+ people in the data science industry, and if you are struggling to find them for your event or job opening, please let me know and I may be able to help connect you.


Kaggle | Twitter | Github | Linkedin